Headline

AI engineer @ Google || M. Tech (IT) in AI @ IIIT Allahabad || LLM || Agentic AI || Generative AI || NLP || Computer Vision

About

I am an AI Engineer with a passion for solving real-world problems through innovative AI and machine learning solutions. At Centific, I have worked on exciting projects like developing a Generative AI-powered resume fraud detection system, creating advanced computer vision models for object tracking and automating prompt and response validation process by fine tuning LLMs for large language models. With a solid foundation in AI from IIIT Allahabad and hands-on experience in tools like TensorFlow, PyTorch, and Azure, I thrive on building systems that are not only efficient but also impactful. Whether it is improving forecasting models, fine tuning LLMs or optimizing algorithms, I am always up for a challenge.

Location

Bengaluru

AI stack

cursor

opencode

claudecode

Work experience

Software Engineer - AI FDE at Google, Jun 2026 - Present · 3 mos, Bengaluru, Karnataka, India

Software Engineer - Gen AI at ConcertAI, May 2025 - May 2026 · 1 yr 1 mo, Bengaluru, Karnataka, India, 1. Architected and deployed MCP-driven multi-agent systems using LangGraph and ReAct agents for clinical data analysis, enabling dynamic tool orchestration and scalable AI workflows 2. Built an agentic text-to-SQL pipeline to convert natural language queries into real-time medical dashboards, integrating prompt engineering, API automation, and context caching 3. Developed LLM-powered document intelligence systems to extract and structure information from medical prescriptions 4. Implemented context caching strategies to optimize LLM performance by reducing redundant computation and token usage Key Impact: 1. Achieved 67% reduction in latency and 98% decrease in token usage in multi-agent workflows 2. Delivered 62% faster query processing and 90% cost savings in production text-to-SQL systems 3. Enabled scalable, production-ready AI solutions for clinical decision support and data analysis

AI Engineer at Centific, Jan 2024 - May 2025 · 1 yr 5 mos, Hyderabad, Telangana, India, 1. Developed an agentic RAG chatbot with integrated web search to extract insights from large-scale document sets (500+ pages) 2. Built a Generative AI-based fraud detection system to identify multi-identity submissions across 350,000+ resumes 3. Collaborated with cross-functional global teams to design LLM evaluation and validation pipelines, leveraging PEFT techniques (LoRA/QLoRA) 4. Engineered a multi-camera tracking system combining Kalman filters and deep learning (ResNeXt-50 with Triplet Loss) for identity recognition Key Impact: 1. Improved retrieval accuracy by reducing ~30% irrelevant results using adaptive and corrective RAG techniques 2. Scaled fraud detection pipelines for high-volume, real-time processing on Azure 3. Achieved 88.3% IDF1 score on AI City 2023 multi-camera tracking benchmark 4. Enhanced LLM output quality through automated validation and fine-tuning workflows

Education

Master of Technology, Information Technology(AI), Indian Institute Of Information Technology allahabad

Bachelor of Technology, Techno India Banipur 244